×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
西安交通大学 [9]
清华大学 [1]
厦门大学 [1]
大连理工大学 [1]
内容类型
期刊论文 [9]
会议论文 [2]
学位论文 [1]
发表日期
2016 [1]
2014 [2]
2012 [2]
2011 [1]
2010 [3]
2009 [2]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共12条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
基于数据驱动的铜闪速熔炼能效优化算法研究
学位论文
2016, 2016
董云成
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2017/06/20
闪速熔炼
能效优化
支持向量机
粒子群优化算法
Copper Flash Smelting
Energy Efficiency Optimization
Least Square Support Vector Machine (LS-SVM)
Particle Swarm Optimization (PSO)
Thermal error modeling of a coordinate boring machine based on fuzzy clustering and SVM
期刊论文
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2014, 卷号: 48, 期号: [db:dc_citation_issue], 页码: 1175-1182 and 1188
作者:
Yang, Jun
;
Mei, Xue-Song
;
Zhao, Liang
;
Ma, Chi
;
Feng, Bin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Correlation analysis
Least Square Support Vector Machine (LS-SVM)
Machine spindles
Multi-variable linear regression
Prediction accuracy
Temperature variables
Thermal characteristics
Thermal error modeling
Thermal error modeling of a coordinate boring machine based on fuzzy clustering and SVM
期刊论文
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2014, 卷号: 48, 期号: [db:dc_citation_issue]
作者:
Yang, Jun
;
Mei, Xue-Song
;
Zhao, Liang
;
Ma, Chi
;
Feng, Bin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Boring machine spindle
Fuzzy cluster
Least square support vector machine (LS-SVM)
Multivariable linear regression analysis (MLRA)
Thermal error modeling
Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies
期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 卷号: 20, 页码: 835-845
作者:
Zhao, Jun
;
Wang, Wei
;
Pedrycz, Witold
;
Tian, Xiangwei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Graphic processing unit (GPU) acceleration
Linz Donawitz converter gas (LDG) system
least square support vector machine (LS-SVM)
online parameter optimization
parallel particle swarm optimization (PSO)
Extreme Learning Machine for Regression and Multiclass Classification
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 卷号: 42, 期号: [db:dc_citation_issue], 页码: 513-529
作者:
Huang, Guang-Bin
;
Zhou, Hongming
;
Ding, Xiaojian
;
Zhang, Rui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
regularization network
kernel
Extreme learning machine (ELM)
least square support vector machine (LS-SVM)
feature mapping
proximal support vector machine (PSVM)
Application of genetic algorithm in eigenvalue extraction of infrared spectrum and model optimization
会议论文
作者:
Li, Yujun
;
Tang, Xiaojun
;
Liu, Junhua
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/10
Absorption wavelengths
Computation complexity
Eigen-value
Infrared spectrum
Least Square Support Vector Machine (LS-SVM)
Least square support vector machines
Mean Square Error (MSE)
Quantitative analysis model
基于近红外光谱的柴油凝点计算机软测量法
期刊论文
2010, 2010
吴德会
;
王晓红
;
Wu Dehui
;
Wang Xiaohong
收藏
  |  
浏览/下载:3/0
Application of particle swarm optimization algorithm in improving the stability of sensor
期刊论文
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2010, 卷号: 31, 期号: [db:dc_citation_issue], 页码: 1756-1762
作者:
Li, Yujun
;
Tang, Xiaojun
;
Liu, Junhua
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/10
Calculation results
Current sensitivity
Ergodic optimizations
Least Square Support Vector Machine (LS-SVM)
Least square support vector machines
Optimization modeling
Particle swarm optimization algorithm
Prediction accuracy
Application of LS-SVM network in LDF forming process
期刊论文
Hanjie Xuebao/Transactions of the China Welding Institution, 2010, 卷号: 31, 期号: [db:dc_citation_issue], 页码: 9-12
作者:
Lu, Zhongliang
;
Li, Dichen
;
Lu, Bingheng
;
Zhang, Anfeng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Direct manufacturing
Forming accuracy
Generalization ability
Least Square Support Vector Machine (LS-SVM)
Least squares support vector machines
Nonlinear characteristics
Parameters
Training and testing
Application of LSSVM optimized by genetic algorithm to modeling of switched reluctance motor
期刊论文
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2009, 卷号: 29, 期号: 12, 页码: 65-69
作者:
Shang, Wan-Feng
;
Zhao, Sheng-Dun
;
Shen, Ya-Jing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/18
Adaptive genetic algorithms
Fitting error
Forecast accuracy
Least Square Support Vector Machine (LS-SVM)
Least square support vector machines
Nonlinear characteristics
Nonlinear flux linkages
Switched Reluctance Motor
©版权所有 ©2017 CSpace - Powered by
CSpace